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https://api.github.com/repos/kubeflow/pipelines/issues/7095 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7095/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7095/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7095/events | https://github.com/kubeflow/pipelines/issues/7095 | 1,085,616,611 | I_kwDOB-71UM5AtTHj | 7,095 | test: error: deployment "ml-pipeline" exceeded its progress deadline | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-12-21T09:26:06 | 2022-04-17T06:27:49 | null | CONTRIBUTOR | null | All sample/e2e tests are failing with either
* metadata-grpc deployment cannot rollout
* ml-pipeline deployment cannot rollout
because of connection timeout to the in-cluster mysql DB. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7093 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7093/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7093/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7093/events | https://github.com/kubeflow/pipelines/issues/7093 | 1,085,591,326 | I_kwDOB-71UM5AtM8e | 7,093 | [backend] cache-deployer generate CSR with wrong usage | {
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"cc @chensun ",
"I also bumped into the exact same issue while testing the KF 1.5 RC0 manifests https://github.com/kubeflow/manifests/issues/2099\r\n\r\nI think this has definitely something to do with KinD, but I couldn't get to the bottom of it. For me it was:\r\n* KinD cluster with K8s 1.20.7\r\n* `1.8.0-rc.1`... | 2021-12-21T08:59:01 | 2022-02-08T08:13:42 | 2022-02-08T08:13:42 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
kind
* KFP version:
brunch `master`
### Steps to reproduce
follow README `kustomize`
https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/README.md
* error message
`"message": "invalid usage for client certificate: se... | {
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"Ohh, my guess was wrong. The project ml-pipeline-test itself is suspended.",
"Recovered"
] | 2021-12-20T06:11:50 | 2021-12-20T07:15:14 | 2021-12-20T07:15:14 | CONTRIBUTOR | null | This includes sample test, postsubmit tests.
However, samples-v2 test is still passing.
https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/7088/kubeflow-pipeline-sample-test/1472757856003428352
Therefore, my initial guess is that the image we use is too outdated, so that it can no longer... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"any update on this? i have to include our antifactory images in our organization "
] | 2021-12-16T16:12:56 | 2022-09-14T15:38:34 | null | CONTRIBUTOR | null | ### Feature Area
/area frontend
### What feature would you like to see?
Allow installations to modify the images available on tensorboard. This would allow us to have images with tftext or tensorboard expansions as needed.
Currently tensorboard image list is a HTML embedded in the frontend.
### What is ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7072 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7072/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7072/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7072/events | https://github.com/kubeflow/pipelines/issues/7072 | 1,081,883,211 | I_kwDOB-71UM5AfDpL | 7,072 | how to set restartPolicy "Never" to init containers | {
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"As far as I'm aware, we don't support setting restartPolicy for either main container nor init container via SDK. \r\nBTW, ContainerOp is deprecated, you should received a warning for the code above.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if... | 2021-12-16T08:01:33 | 2022-04-17T06:27:34 | null | NONE | null | ```
kfp.dsl.ContainerOp(
name = 'spark-test',
image = 'blahblah',
init_containers=[ kfp.dsl.UserContainer(name='sdfs', image='sdfs', command=['sh', '-c'], args=['sdfsf'])],
command = ["sh", "-c"])
```
this is my operation.
I tested wrong init containers and then pipeline retry my pipel... | {
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"pr #7065",
"Thank you for raising the issue.\r\n\r\nKFP is language-agnostic pipeline system. `None` is a python-specific object that is not present in other languages. Im'm not sure it's a good idea to tie KFP to a specific language.\r\n\r\n>the component recieve 'None'.\r\n\r\nKFP orchestrates containerized co... | 2021-12-15T09:13:20 | 2022-04-17T06:27:23 | null | NONE | null | When definining a kfp pipeline, with an str argument, if the value is 'None', then the component recieve 'None'.
Wouldn't be better, to parse str 'None' to None (NoneType)?
Now:
```py
@component
def task1(arg1: str = None):
if arg1 is None or arg1 == 'None':
print('arg1 is None')
@pipeline
pipeline(... | {
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"Maybe using argo workflows `argo_workflows_count` is a better way to track runs"
] | 2021-12-15T06:05:41 | 2021-12-15T06:55:59 | 2021-12-15T06:39:12 | CONTRIBUTOR | null | ### What steps did you take
1. Create a recurring run (seems to be called a Job in the backend?)
2. Enable the recurring run so that runs are generated
<!-- A clear and concise description of what the bug is.-->
### What happened:
- `job_server_job_count` correctly increases when creating a recurring ru... | {
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"hi @Bobgy @zijianjoy, can I take this one? I'm looking for a first issue, to get familiar with the code."
] | 2021-12-14T01:20:58 | 2022-02-15T08:05:04 | null | CONTRIBUTOR | null | When a component gets input parameters, its input parameters may not exactly match the component input spec's requirements.
In such a case, we should consider adding auto type conversions for possible type mismatches.
Right now, string to other type conversions have been implemented at [code link](https://github.co... | {
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] | 2021-12-13T04:07:19 | 2022-04-17T06:27:46 | null | CONTRIBUTOR | null | * [ ] P1 https://github.com/kubeflow/pipelines/issues/6161
* [ ] P2 https://github.com/kubeflow/pipelines/tree/master/samples/core/loop_parallelism | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/lifecycle frozen\r\n\r\n"
] | 2021-12-13T03:02:29 | 2023-04-10T00:51:12 | 2023-04-10T00:51:11 | CONTRIBUTOR | null | KFP pipeline spec only has resource limit fields right now, consider also adding support for request fields.
https://github.com/kubeflow/pipelines/blob/1e032f550ce23cd40bfb6827b995248537b07d08/api/v2alpha1/pipeline_spec.proto#L632-L653 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-12-13T03:01:31 | 2022-04-17T07:27:22 | null | CONTRIBUTOR | null | These samples should pass:
* [ ] https://github.com/kubeflow/pipelines/blob/master/samples/core/resource_spec/runtime_resource_request.py
* [ ] https://github.com/kubeflow/pipelines/blob/master/samples/core/resource_spec/runtime_resource_request_gpu.py | {
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"/lifecycle frozen"
] | 2021-12-12T14:34:37 | 2023-03-07T01:22:14 | 2023-03-07T01:22:14 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7040 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7040/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7040/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7040/events | https://github.com/kubeflow/pipelines/issues/7040 | 1,077,273,630 | I_kwDOB-71UM5ANeQe | 7,040 | [bug] Idempotency in kubeflow pipeline sagemaker component. | {
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"@akartsky @surajkota @mbaijal @ryansteakley FYI.",
"https://github.com/kubeflow/pipelines/issues/6465",
"/area components/aws/sagemaker",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contribution... | 2021-12-10T22:14:18 | 2022-04-28T04:59:41 | null | CONTRIBUTOR | null | ### What steps did you take
If node scales/up down, the sagemaker component tries to create the same job which fails. Since sagemaker does not let create the same name job. Component controller should be able to detect this and resume the job from existing state.
### What happened:
the job hangs/fail
### Wh... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7029 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7029/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7029/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7029/events | https://github.com/kubeflow/pipelines/issues/7029 | 1,075,415,737 | I_kwDOB-71UM5AGYq5 | 7,029 | [feature] upgrade MLMD to 1.5.0 | {
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"/assign @zijianjoy \r\n/cc @haoxins ",
"All clients for MLMD have been updated."
] | 2021-12-09T10:36:31 | 2022-01-01T19:26:12 | 2022-01-01T19:26:12 | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
instructions: https://github.com/kubeflow/pipelines/tree/master/third_party/ml-metadata
Tasks
* [x] #6996
* ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7028 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7028/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7028/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7028/events | https://github.com/kubeflow/pipelines/issues/7028 | 1,075,363,752 | I_kwDOB-71UM5AGL-o | 7,028 | [feature] Make func_to_container_op functions ready for autogenerated docs | {
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"cc @chensun ",
"Hi @hahamark1, \r\n\r\n`func_to_container_op` function is actually deprecated. To generate the docstrings, we need some amount of work to generate kfp-specific docstrings. We will work on this in the future. Thanks!",
"Hi @ji-yaqi , came across this and was wondering whether there is a way user... | 2021-12-09T09:44:38 | 2022-02-17T20:26:00 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Currently the function wrapper (`func_to_container_op`) Does not copy... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7023 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7023/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7023/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7023/events | https://github.com/kubeflow/pipelines/issues/7023 | 1,074,912,007 | I_kwDOB-71UM5AEdsH | 7,023 | [sdk] Wrong IPython url links | {
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"cc @chensun ",
"Hi @juliadeclared I saw you closed the PR. Is the issue still valid? \r\n",
"@chensun yes, the issue is still valid. For KF installations, the generated URI should include domain/_/pipeline since this is how its mapped for KF full installation.\r\n\r\nMaybe this can be a small doc update or som... | 2021-12-08T22:49:30 | 2022-04-17T06:27:47 | null | NONE | null | ### Environment
Running on a full KF 1.4 installation on top of GKE.
* KFP version: 1.7.1
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.6.0
<!-- Specify the version of Kubeflow Pipelines that yo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7021 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7021/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7021/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7021/events | https://github.com/kubeflow/pipelines/issues/7021 | 1,074,060,393 | I_kwDOB-71UM5ABNxp | 7,021 | pod status is NotReady | {
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"Hello @ashissharma97 ,\r\n\r\nWould you like to get the events from failing pods to debug further\r\n\r\n```\r\nkubectl get <pod-id> -n <namespace> -o yaml\r\n```",
"Hi @zijianjoy,\r\nThanks for replying\r\nHere is the yaml file of the pod \r\n```\r\napiVersion: v1\r\nkind: Pod\r\nmetadata:\r\n labels:\r\n p... | 2021-12-08T06:30:36 | 2021-12-15T08:14:57 | 2021-12-15T08:14:57 | NONE | null | Hi,
I have installed Kubeflow from Kubeflow manifest and when I am running a pipeline I am getting pod status as “NotReady”. Can somebody help with this?
Thanks | {
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"cc @chensun ",
"@ypitrey The fundamental issue is that `300 * run_duration` is a piece of code not captured in any container. Generally speaking, a pipeline may only use components as building blocks, where each component is a containerized app. There can't be code hanging outside a component. Does that make sen... | 2021-12-07T15:31:08 | 2022-04-17T07:27:13 | null | NONE | null | I have a pipeline in which some components require an amount of RAM that is dependent on the run duration. Our runs can take anything from 10 minutes to 12 hours and we run mostly short runs (less than 30 minutes). I'm looking into adapting the memory request to have enough RAM for long runs while saving costs on short... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7014 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7014/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7014/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7014/events | https://github.com/kubeflow/pipelines/issues/7014 | 1,073,316,650 | I_kwDOB-71UM4_-YMq | 7,014 | [backend] Forbid unarchive runs action if the run belongs to archived experiment | {
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"/assign @difince ",
"This behavior sounds good to us, feel free to contribute to this fix!"
] | 2021-12-07T12:51:16 | 2022-02-09T23:24:33 | 2022-02-09T23:24:33 | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
</area backend>
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Add backend validation so that the user cannot activate a Run if it bel... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7013 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7013/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7013/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7013/events | https://github.com/kubeflow/pipelines/issues/7013 | 1,073,217,547 | I_kwDOB-71UM4_-AAL | 7,013 | [sdk] Compile fails when the pipeline name is not specified | {
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"cc @chensun ",
"Hi @ysk24ok, in V2, we ask that pipeline name should be specified for better usage. \r\n\r\nYour code should look like:\r\n```\r\n@pipeline(name=\"your_pipeline_name\")\r\ndef sample():\r\n do_nothing_op()\r\n```\r\n\r\nHope this explains!\r\n",
"@ji-yaqi Thank you for your response.\r\nThen... | 2021-12-07T11:05:12 | 2022-08-29T11:22:11 | 2022-08-29T11:22:10 | CONTRIBUTOR | null | ### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: master
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"cc @IronPan ",
"kfp -> 1.8.10\r\ngoogle-cloud-pipeline-components -> 0.2.1\r\n\r\nI'm experiencing the same issue when running tasks created from `google_cloud_pipeline_components.experimental.hyperparameter_tuning_job` \r\nAnd I located to the same place `google_cloud_pipeline_components\\container\\experimenta... | 2021-12-06T20:38:14 | 2022-08-31T13:33:23 | null | NONE | null | ### Environment
* KFP SDK version: 1.8.9
* All dependencies version:
google_cloud_pipepline_components version: 0.2.0
### Steps to reproduce
Followed the tutorial of the Vertex AI pipeline and created a training job with the code below
```
training_op = gcc_aip.CustomContainerTrainingJobRunOp(
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https://api.github.com/repos/kubeflow/pipelines/issues/7009 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7009/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7009/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7009/events | https://github.com/kubeflow/pipelines/issues/7009 | 1,072,199,648 | I_kwDOB-71UM4_6Hfg | 7,009 | [backend] kubeflow 1.6.0 no support onExit | {
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"here is our test pipeline\r\n\r\n\r\n\r\n```\r\nimport os\r\nimport sys\r\n\r\nimport kfp.compiler\r\nimport kfp.components as comp\r\nimport kfp.dsl as dsl\r\nimport json\r\n\r\nstart_comp = comp.load_component_from_file('./start.yaml')\r\nwork_comp = comp.load_component_from_file('./work.yaml')\r\nexit_comp = co... | 2021-12-06T14:12:56 | 2022-10-07T00:54:16 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
kubeflow 1.6.0
### Steps to reproduce
I write a pipeline with on exit component and I can upload to kubeflow 1.0, but when I use 1.6.0 kubeflow,
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https://api.github.com/repos/kubeflow/pipelines/issues/7008 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7008/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7008/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7008/events | https://github.com/kubeflow/pipelines/issues/7008 | 1,072,096,659 | I_kwDOB-71UM4_5uWT | 7,008 | [feature] Abstract global KFP compilation context/state | {
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"Maybe the following methods could be useful too, especially for testing and debugging purposes:\r\n\r\n```python\r\n@abstractmethod\r\ndef get_all_globals(self) -> Mapping[str, Any]: ...\r\n\r\n@abstractmethod\r\ndef reset_globals(self) -> None: ...\r\n\r\n@abstractmethod\r\ndef set_globals_map(self, values: Mappi... | 2021-12-06T12:29:31 | 2022-04-26T23:21:53 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Gathering all the mutable globals used during KFP compilation into o... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/7003 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/7003/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/7003/comments | https://api.github.com/repos/kubeflow/pipelines/issues/7003/events | https://github.com/kubeflow/pipelines/issues/7003 | 1,070,469,896 | I_kwDOB-71UM4_zhMI | 7,003 | [feature] Add GetPipelineByName endpoint | {
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"/assign @difince ",
"/assign @capri-xiyue ",
"pipeline name is not unique in KFP. I think we can make the combination of name and namespace unique in KFP. FYI: https://github.com/kubeflow/pipelines/issues/3360#issuecomment-834450654",
"Thank you for clarifying this @capri-xiyue. \r\nThis issue is actually in... | 2021-12-03T11:00:30 | 2022-05-19T07:29:53 | 2022-02-15T17:38:41 | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
Add new endpoint - getPipelineByName
Because the pipeline name is ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6987 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6987/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6987/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6987/events | https://github.com/kubeflow/pipelines/issues/6987 | 1,068,023,708 | I_kwDOB-71UM4_qL-c | 6,987 | [bug] upgrade from MLMD 1.0.0 to 1.4.0 stuck in crashloopbackoff | {
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"I tried reproducing this issue with a brand new MLMD grpc server, but I wasn't able to reproduce.",
"I'm going to delete the MLMD db manually to unblock the upgrade for development in https://github.com/kubeflow/pipelines/pull/6983",
"I connected to in-cluster mysql and deleted MLMD db in kfp-ci cluster.\r\n``... | 2021-12-01T06:43:11 | 2023-03-21T17:52:11 | 2023-03-21T17:52:11 | CONTRIBUTOR | null | Upstream issue: https://github.com/google/ml-metadata/issues/135 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6986 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6986/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6986/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6986/events | https://github.com/kubeflow/pipelines/issues/6986 | 1,067,607,765 | I_kwDOB-71UM4_ombV | 6,986 | [sdk] v2 Components not supported by LocalClient | {
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"This is known and expected. `run_pipeline_func_locally` was added as an alpha feature by a community contributor. It targets v1 only and has many limitations. \r\nThere's currently no plan to make it work for v2 components and pipelines.",
"@chensun @gpoulin-hopper Actually I have implemented the local client f... | 2021-11-30T19:41:45 | 2022-04-24T10:32:45 | null | NONE | null | ### Environment
* KFP version:
N/A
* KFP SDK version:
1.8.9
* All dependencies version:
```
kfp 1.8.9
kfp-pipeline-spec 0.1.13
kfp-server-api 1.7.1
```
### Steps to reproduce
Running this python script
```python3
import kfp
import kfp.v2.dsl as dsl
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https://api.github.com/repos/kubeflow/pipelines/issues/6981 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6981/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6981/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6981/events | https://github.com/kubeflow/pipelines/issues/6981 | 1,066,746,703 | I_kwDOB-71UM4_lUNP | 6,981 | Argument type "google.VertexDataset" is incompatible with the input type "Dataset" | {
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"any update on this? I am encountering something similar with using the output of Vertex AI model upload, so I have a `google.VertexModel` that does not match `Input[Model]` in a python component. ",
"same problem with the VertexModel\r\nhave a customop defined:\r\n\r\nfrom kfp.v2.dsl import (\r\n component,\r... | 2021-11-30T03:29:19 | 2022-03-01T13:11:44 | null | NONE | null | ### What steps did you take
I created a KF pipeline in which:
1. First created a Vertex AI dataset
2. Defined a custom component, and pass the dataset as an input.
I was expecting that the dataset_create_task.outputs["dataset"] would pass a dataset to run_hptune as input. However, I got this error:
'Argument... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6977 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6977/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6977/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6977/events | https://github.com/kubeflow/pipelines/issues/6977 | 1,065,950,466 | I_kwDOB-71UM4_iR0C | 6,977 | [feature] Provide a way to define a set of default annotations for tasks | {
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"Do you need to customize the annotation for pipeline tasks? For example, KFP provides a interface for user to define the annotations for specific pipeline tasks?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you... | 2021-11-29T11:57:39 | 2022-03-03T02:05:10 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
We would like to be able to define a set of annotations on the server-s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6974 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6974/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6974/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6974/events | https://github.com/kubeflow/pipelines/issues/6974 | 1,065,592,462 | I_kwDOB-71UM4_g6aO | 6,974 | [bug] TFX sample fails after upgrading to 1.4 | {
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"/assign @zijianjoy @jiyongjung0 ",
"@Bobgy: GitHub didn't allow me to assign the following users: jiyongjung0.\n\nNote that only [kubeflow members](https://github.com/orgs/kubeflow/people), repo collaborators and people who have commented on this issue/PR can be assigned. Additionally, issues/PRs can only have 1... | 2021-11-29T04:18:29 | 2021-12-23T07:59:05 | 2021-12-02T10:00:06 | CONTRIBUTOR | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
* MLMD & TFX upgrade: https://github.com/kubeflow/pipelines/pull/6910
### What happened:
* Check test: https://oss-prow.knative.dev/view/gs/oss-prow/logs/kubeflow-pipeline-postsubmit-integration-test/1464225919869652992
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6972 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6972/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6972/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6972/events | https://github.com/kubeflow/pipelines/issues/6972 | 1,065,193,798 | I_kwDOB-71UM4_fZFG | 6,972 | [backend] Create Run in KFPv2 failing because of invalid name in argo workflow | {
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"I did some investigation, the root cause is because when creating pipeline, the pipeline api will override the name to pipeline/xxx format, FYI \r\n\r\nhttps://github.com/kubeflow/pipelines/blob/cfdfe71a7e4944a3d79f0731ea8d7170738d40e5/backend/src/apiserver/resource/resource_manager.go#L263https://github.com/kubef... | 2021-11-28T05:36:41 | 2021-12-08T05:48:59 | 2021-12-08T05:48:59 | COLLABORATOR | null | During KFPv2, I tried to create KFPv2 run using existing pipeline template. The following is the request payload for create run:
```
{
"description":"",
"name":"Run of v2upload (6792a)",
"pipeline_spec":{
"parameters":[
]
},
"resource_references":[
{
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https://api.github.com/repos/kubeflow/pipelines/issues/6970 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6970/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6970/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6970/events | https://github.com/kubeflow/pipelines/issues/6970 | 1,064,850,622 | I_kwDOB-71UM4_eFS- | 6,970 | [bug] Link on KubeFlow website is 404 | {
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"Thank you for the report! I created the fix https://github.com/kubeflow/website/pull/3081"
] | 2021-11-26T23:16:56 | 2021-11-28T12:58:04 | 2021-11-28T12:58:04 | NONE | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
Visit:
https://www.kubeflow.org/
Click on the KubeFlow Pipelines link, which direct me to
https://www.kubeflow.org/docs/components/pipelines/overview/pipelines-overview/
### What happened:
I see a 404 page.
##... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6966 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6966/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6966/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6966/events | https://github.com/kubeflow/pipelines/issues/6966 | 1,064,130,065 | I_kwDOB-71UM4_bVYR | 6,966 | [sdk] component with optional input causes compile error in v2 compiler | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-26T06:03:28 | 2022-03-02T10:06:22 | null | CONTRIBUTOR | null | ### Environment
* KFP SDK version: master
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation of user interface.
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
### Steps to reproduce
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https://api.github.com/repos/kubeflow/pipelines/issues/6956 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6956/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6956/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6956/events | https://github.com/kubeflow/pipelines/issues/6956 | 1,062,667,067 | I_kwDOB-71UM4_VwM7 | 6,956 | run vertex pipeline with py-func locally | {
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"An start step would be next code playing with the source of the code to execute it dynamically. But would only work with single output's and you still need to import properly the components as functions (which is verbose)\r\n\r\nstart_step could be confusing and out of the current scope but since this is for debug... | 2021-11-24T17:01:06 | 2023-05-02T17:23:30 | null | NONE | null | For debugging, in kfp.V2, would be good to run the vertex_pipeline based on py-funcs you define locally (without docker build)
Also would avoid creating an almost identical, pipeline_local_func function.
For example with an
```py
from kfp.v2 import compiler
pipeline_filename = 'tmp/kfp_pipeline.json'
compil... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6953 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6953/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6953/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6953/events | https://github.com/kubeflow/pipelines/issues/6953 | 1,061,853,986 | I_kwDOB-71UM4_Spsi | 6,953 | doc: rename compatibility matrix page to tfx? | {
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"Thank you for creating this issue!\r\n\r\n\r\nFor the discussion of this doc title, I have a couple questions:\r\n\r\n1. Is there any plan for compatibility matrix beyond tfx in the future? (Say PytorchX, MLMD, argo, etc.)\r\n2. How does user find the right combination of ML frameworks+KFP nowadays? (Or how do we ... | 2021-11-24T00:39:36 | 2022-03-02T10:06:20 | null | CONTRIBUTOR | null | @zijianjoy @kramachandran @Bobgy in the interest of getting this merged, I have removed that rename from this PR.
However, I still think we should discuss renaming that page in the future.
_Originally posted by @thesuperzapper in https://github.com/kubeflow/website/pull/3063#discussion_r755575916_ | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6949 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6949/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6949/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6949/events | https://github.com/kubeflow/pipelines/issues/6949 | 1,061,427,264 | I_kwDOB-71UM4_RBhA | 6,949 | [bug] Conditions used to select component | {
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"I encountered a similar issue (but not the same).\r\nWhen I ran:\r\n```\r\n@func_to_container_op\r\ndef op_0(flag: bool) -> bool:\r\n return flag\r\n\r\n@func_to_container_op\r\ndef op_1(flag: bool) -> bool:\r\n return flag\r\n\r\n@func_to_container_op\r\ndef op_2(flag: bool) -> bool:\r\n return flag\r\n\... | 2021-11-23T15:35:36 | 2023-01-31T04:07:36 | null | NONE | null | ### What steps did you take
I am trying to use a pipeline to train two types of models (which are in different frameworks). I select which model type to train through a boolean pipeline argument. When selecting `Model_A`, I want to run a data preparation step for `Model_A`, and when selecting `Model_B` I want to run... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6948 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6948/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6948/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6948/events | https://github.com/kubeflow/pipelines/issues/6948 | 1,061,282,880 | I_kwDOB-71UM4_QeRA | 6,948 | [frontend] taskname instead of component name in pipeline view or rename components on use | {
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"Well. A colleague found the undocumented solution. In case someone else wonders how you can rename the task:\r\n\r\n```\r\n task_get_model = op_get_minio_file(\r\n minio_uri=minio_model_uri\r\n )\r\n task_get_model.apply(use_aws_secret(\r\n 'mlpipeline-minio-artifact',\r\n 'accesskey'... | 2021-11-23T13:22:18 | 2021-11-23T13:31:43 | 2021-11-23T13:31:42 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? via manifests
* KFP version: 1.8.9
### Steps to reproduce
- create a pipeline using the same component twice (different runtime parameters)
### Expected result
- I would expect the task-name instead of the component name within kubeflow pi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6940 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6940/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6940/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6940/events | https://github.com/kubeflow/pipelines/issues/6940 | 1,060,452,705 | I_kwDOB-71UM4_NTlh | 6,940 | [feature] Publish a wheel for package `kfp` | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-22T18:09:08 | 2022-03-02T10:06:24 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Please publish a built distribution (wheel) for the package `kfp`.
https://packaging.python.org/guides/analyzing-pypi-package-downloads/ says both files (source distribution and source archive) get created by default if you use the PyPA pa... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6936 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6936/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6936/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6936/events | https://github.com/kubeflow/pipelines/issues/6936 | 1,059,589,930 | I_kwDOB-71UM4_KA8q | 6,936 | avoid declaring two times same function (and params) in vertex-pipeline with py-functions | {
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"PR #7049",
"IIUC, what you want to achieve after the PR is something like this:\r\n\r\n```python\r\nfrom kfp_test.test import test\r\n \r\ntest_op = create_component_from_func(func=test, base_image=base_image)\r\n```\r\n\r\nThere're a couple of issues with this approach:\r\n1. It requires installing the `kfp_tes... | 2021-11-22T02:04:07 | 2022-04-17T06:27:26 | null | NONE | null | context:
With vertex-pipeline + py-functions We can use a base_image (docker) with our py library pre-installed. Therefore the lib functions are available to import inside the pipeline.
problem:
Assuming we want to use one of this functions (without any change) in the pipeline, is a little verbose to declare wit... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6935 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6935/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6935/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6935/events | https://github.com/kubeflow/pipelines/issues/6935 | 1,058,923,115 | I_kwDOB-71UM4_HeJr | 6,935 | [feature] Provide a way to filter for currently enabled recurring runs | {
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"This sounds like a useful feature to add. \r\n\r\nHello Xiyue, would you like to take a look and see if we are able to support filtering by job status from backend? Reference: https://github.com/kubeflow/pipelines/blob/949cfdca3794416210805ca1579adbd44ebec592/backend/src/apiserver/storage/job_store.go#L59\r\n\r\n/... | 2021-11-19T21:16:13 | 2022-04-21T00:22:01 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area frontend
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
The recurring runs frontend page could be more useful for my teams if... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6931 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6931/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6931/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6931/events | https://github.com/kubeflow/pipelines/issues/6931 | 1,058,627,123 | I_kwDOB-71UM4_GV4z | 6,931 | How to use docker images from a private registry | {
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"How do you solve this problem?",
"For version 1.4 from what I see driver image is hardcoded in driver.go "
] | 2021-11-19T15:04:47 | 2022-01-22T20:01:28 | 2021-11-30T13:55:30 | NONE | null | Hello! We are trying to deploy KFP in an enterprise environment with docker images from a private registry (For security reasons we are not allowed to use public registries such as gcr.io - so we pull the images and push them to our environment). The problem is that we are missing where some of the images can be config... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6930 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6930/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6930/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6930/events | https://github.com/kubeflow/pipelines/issues/6930 | 1,058,496,812 | I_kwDOB-71UM4_F2Es | 6,930 | Pipeline run does not write artifacts and stop | {
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"Do you see any errors when the pipeline run? Can you share your pipeline yaml?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-19T12:52:34 | 2022-03-03T02:05:09 | null | NONE | null | Hey folks,
recently, I installed Kubeflow 1.4 with Multi User support. After a while, I managed to create a pipeline through a notebook-server.
The pipeline should consists out of different steps each with input and output artifacts.
Yet when I start the pipeline in a run, the first step does not stop nor s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6928 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6928/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6928/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6928/events | https://github.com/kubeflow/pipelines/issues/6928 | 1,058,459,367 | I_kwDOB-71UM4_Fs7n | 6,928 | samples: migrate v2 samples to hermetic v2 namespace | {
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Samples in samples/test with V2_E... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6927 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6927/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6927/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6927/events | https://github.com/kubeflow/pipelines/issues/6927 | 1,058,416,460 | I_kwDOB-71UM4_FidM | 6,927 | [sdk] dsl-compile-v2 fails to compile samples/v2/producer_consumer_param.py | {
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"This specific one is because of the mix use of v1 and v2 imports in the test sample file\r\nhttps://github.com/kubeflow/pipelines/blob/feebc6b66a719dc950c84500e00d23e36b37ae34/samples/v2/producer_consumer_param.py#L16-L19\r\n\r\nwhich I'm fixing in https://github.com/kubeflow/pipelines/pull/6932",
"I wonder whet... | 2021-11-19T11:14:39 | 2022-03-02T10:06:27 | null | CONTRIBUTOR | null | ### Environment
* KFP SDK version: master
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation of user interface.
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
### Steps to reproduce
<!--
Spec... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6926 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6926/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6926/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6926/events | https://github.com/kubeflow/pipelines/issues/6926 | 1,058,262,407 | I_kwDOB-71UM4_E82H | 6,926 | [bug] Pipeline components do not fail as expected | {
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"@pretidav Can you share your pipeline component yaml?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-19T08:16:37 | 2022-03-03T02:05:11 | null | NONE | null | ### What steps did you take
We have a pipeline with several components defined via .yaml descriptors.
### What happened:
Whenever the python code (contained into the images executed by the component) raises an error this does not translate with an error in the component execution which is still marked with a ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6925 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6925/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6925/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6925/events | https://github.com/kubeflow/pipelines/issues/6925 | 1,057,814,368 | I_kwDOB-71UM4_DPdg | 6,925 | [feature] <Submit spark job on AWS Databricks> | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-18T21:25:18 | 2022-03-02T10:06:29 | null | NONE | null |
There are Kubeflow pipeline Ops to submit jobs to Azure Databricks. Are we able to also submit jobs to AWS Databricks? If not, does ResourceOp support it?
| {
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https://api.github.com/repos/kubeflow/pipelines/issues/6923 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6923/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6923/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6923/events | https://github.com/kubeflow/pipelines/issues/6923 | 1,057,805,899 | I_kwDOB-71UM4_DNZL | 6,923 | [feature] [multi-user] Pipelines Profile Controller Supports Adding Labels to Created Resources | {
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"There is no KFP profile controller image, it is by design that we allow user to customize profile controller behavior as followed.\r\n\r\nYou can change https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/base/installs/multi-user/pipelines-profile-controller/sync.py#L161 in the way that you want ... | 2021-11-18T21:13:49 | 2021-11-19T01:14:22 | 2021-11-19T01:14:22 | NONE | null | ### Feature Area
/area manifests
### What feature would you like to see?
The kubeflow pipielines deployment is placed into a cluster which has labeling requirements. The pipelines profile controller sync.py creates Kube resources in the profile's namespace. There needs to be a feature to allow adding labels to al... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6922 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6922/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6922/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6922/events | https://github.com/kubeflow/pipelines/issues/6922 | 1,057,270,294 | I_kwDOB-71UM4_BKoW | 6,922 | ml-pipeline, metadata-grpc, ml-pipeline-persistentagent restart constantly | {
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"Can you look at the the yaml definition, events and logs in `ml-pipeline`? \r\n\r\n```\r\nkubectl logs my-pod --previous \r\n```\r\n\r\nhttps://kubernetes.io/docs/reference/kubectl/cheatsheet/#interacting-with-running-pods",
"> kubectl logs my-pod --previous\r\n\r\nThanks for the reply. \r\n\r\n**ml-pipelines: l... | 2021-11-18T11:56:17 | 2023-04-19T10:22:06 | 2021-11-19T15:22:14 | NONE | null | Hello everyone. We are trying to deploy KFP in an enterprise cluster. Unfortunately, the ml-pipeline, metadata-grpc, ml-pipeline-persistentagent pods are not initialized and they are constantly being restarted. Any ideas?
**ml-pipeline-persistentagent logs**
```bash
time="2021-11-18T11:51:41Z" level=fatal msg=... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6916 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6916/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6916/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6916/events | https://github.com/kubeflow/pipelines/issues/6916 | 1,055,633,855 | I_kwDOB-71UM4-67G_ | 6,916 | [feature] Upgrade argo-workflows to 3.2.x | {
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"/assign @zijianjoy ",
"@zijianjoy I gave this a try in #6920. Let me know if I'm on the right track--or if it's easier for you to do this instead.",
"@jmcarp If you add me to edit your branch https://github.com/jmcarp/pipelines/tree/jmcarp/argo-workflows-v3.2, I can take care of the image upload part in https:... | 2021-11-17T02:27:30 | 2021-12-01T06:19:14 | 2021-12-01T06:19:14 | CONTRIBUTOR | null | ### Feature Area
/area backend
### What feature would you like to see?
Upgrade argo-workflows to 3.2.x.
### What is the use case or pain point?
argo-workflows 3.2 includes some useful features, including conditional retries.
### Is there a workaround currently?
Without conditional retries, we can e... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6915 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6915/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6915/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6915/events | https://github.com/kubeflow/pipelines/issues/6915 | 1,055,162,481 | I_kwDOB-71UM4-5IBx | 6,915 | Change the way to read parameters based on google.protobuf.Value | {
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"Switch to ts-proto: https://github.com/kubeflow/pipelines/commit/d60bc99bb61a9f23fce8eabd78634236e45a5dc1\r\n\r\nWe are pending for parameter for create run to be implemented.\r\n",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity... | 2021-11-16T17:53:48 | 2022-08-24T05:40:16 | 2022-08-24T05:40:16 | COLLABORATOR | null | Reference: https://github.com/kubeflow/pipelines/pull/6804/files
Parameters change: https://github.com/neuromage/pipelines/blob/35f8448ae97c327c490a6e22159edd3280635489/samples/test/util.py#L520 | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6913 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6913/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6913/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6913/events | https://github.com/kubeflow/pipelines/issues/6913 | 1,054,892,370 | I_kwDOB-71UM4-4GFS | 6,913 | Can't enable GPU inside a pod | {
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"Hey how did you solve this?",
"@kciy \r\n\r\nHey, the problem was the Kind cluster.\r\nFor some reason no pod was able to detect the GPU on the host, once I shifted to an AWS EKS the same exact configuration worked...\r\nI didn't find a way to use the \"--gpus all\" flag in Kind."
] | 2021-11-16T13:37:48 | 2021-12-20T15:28:57 | 2021-12-09T15:53:06 | NONE | null | ### Environment
Host
- AWS ec2 instance with tesla k80 gpu
- Kind cluster with 1 node
- Nvidia driver is installed and nvidia-smi cmd works on host
- Kfp version 1.8.9
### Steps to reproduce
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6912 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6912/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6912/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6912/events | https://github.com/kubeflow/pipelines/issues/6912 | 1,054,703,867 | I_kwDOB-71UM4-3YD7 | 6,912 | [frontend] pipeline metrics not showing | {
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"@tomalbrecht This feature is only supported in v1, but not v2 compatible. ",
"@zijianjoy Could we get an update on this issue? \r\n\r\nIt looks like it received quite a few thumbs up but was not addressed in v2 compatible mode issue tacker https://github.com/kubeflow/pipelines/issues/6132\r\n\r\nI think you guys... | 2021-11-16T10:24:55 | 2023-01-18T08:53:20 | 2023-01-18T08:53:19 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? kubeflow manifests (branch 1.4)
* KFP version: SDK 1.8.9 / build version dev_local
### Steps to reproduce
- Copy/Paste Code from here: https://www.kubeflow.org/docs/components/pipelines/sdk/pipelines-metrics/
- Create pipeline and create_run fr... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6906 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6906/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6906/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6906/events | https://github.com/kubeflow/pipelines/issues/6906 | 1,052,590,374 | I_kwDOB-71UM4-vUEm | 6,906 | 11/12/2021 Presubmit kubeflow-pipelines-tfx-python37 failure | {
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"The failure is caused by https://github.com/tensorflow/tfx/commit/f796bcb059afa612a3ea9734b7c5e58cb2f2c782 which depends on https://github.com/google/ml-metadata/commit/aa492c474f8b3a54dbb6461ddb7b35c7e69b4a47,\r\nyet none of the changes are in a released package.\r\n\r\nIdeally, the ml-metadata change should be r... | 2021-11-13T07:53:39 | 2021-11-13T09:19:40 | 2021-11-13T09:19:40 | COLLABORATOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6905/kubeflow-pipelines-tfx-python37/1459423904140365824
```
2021-11-13 07:39:25.976031: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6903 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6903/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6903/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6903/events | https://github.com/kubeflow/pipelines/issues/6903 | 1,052,384,784 | I_kwDOB-71UM4-uh4Q | 6,903 | [bug] concurrent.futures.process.BrokenProcessPool using ProcessPoolExecutor | {
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"Hello @andrijaperovic , are you able to run a sample code using ProcessPoolExecutor in an independent Kubernetes pod successfully? It doesn't seem like an issue related to Kubeflow.",
"Hi @zijianjoy , looks like the issue was caused primarily by the node pool where the pipeline task was being scheduled which has... | 2021-11-12T20:26:39 | 2021-11-19T01:59:40 | 2021-11-19T01:59:40 | NONE | null | ### What steps did you take
Running the following example code to gather output results from model training.
Results are failing to be retrieved from executor at runtime, which leads to downstream exception.
```
with ProcessPoolExecutor() as p_executor:
for i in range(nprocs):
futures.append(p_exe... | {
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"/assign @zijianjoy ",
"Please guide on how to provide value pipeline/workspace and name in artifact via KFP library\r\nfacing same issue",
"This is fixed by https://github.com/kubeflow/pipelines/pull/6989. We are planning to make new release for it."
] | 2021-11-12T13:08:41 | 2022-02-04T20:51:47 | null | NONE | null | ### What steps did you take
I deployed various types of pipelines,
for example
https://github.com/Building-ML-Pipelines/building-machine-learning-pipelines/tree/master/pipelines/kubeflow_pipelines
https://github.com/jazzsir/kubeflow-pipelines/blob/master/simple-pipeline/mnist.ipynb
https://github.com/jazzsir/kubef... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6900 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6900/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6900/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6900/events | https://github.com/kubeflow/pipelines/issues/6900 | 1,051,558,911 | I_kwDOB-71UM4-rYP_ | 6,900 | [Python version upgrade] Should we consider to upgrade the base/default images from Python:3.7 to 3.8 | {
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"cc @chensun ",
"Hi @haoxins, in order not to break our existing users, we will not update the image to 3.8 until we reach a point of deprecating 3.7. Thanks for the advice!"
] | 2021-11-12T03:54:06 | 2021-12-13T19:45:26 | 2021-12-13T19:45:26 | CONTRIBUTOR | null | ### Feature Area
/area components
### What feature would you like to see?
As `Python 3.10` has released, and the `Python 3.8` has became most OS's default `Python(3)` version
So, I just advise that we should consider to upgrade the default Python version
(Such as: base images in the `Dockerfile`, default i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6899 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6899/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6899/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6899/events | https://github.com/kubeflow/pipelines/issues/6899 | 1,051,386,870 | I_kwDOB-71UM4-quP2 | 6,899 | python Code sample for configmap , volume creation | {
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"Hi @kabilan6 . There aren't any specific code samples for config maps but It should work the same way as other Kubernetes objects. For creating a PVC you can leverage [VolumeOp](https://github.com/kubeflow/pipelines/tree/master/samples/core/volume_ops) which utilises ResourceOps behind the scene. You can also leve... | 2021-11-11T21:46:06 | 2022-03-02T10:06:36 | null | NONE | null |
Any code samples for configmaps, persistent volume creation ? I tried resourceop but its not working. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6896 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6896/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6896/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6896/events | https://github.com/kubeflow/pipelines/issues/6896 | 1,051,025,575 | I_kwDOB-71UM4-pWCn | 6,896 | [bug] The pipeline is terminated immediately after startup | {
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"Can you try to use emissary executor https://www.kubeflow.org/docs/components/pipelines/installation/choose-executor/#emissary-executor",
"> Can you try to use emissary executor https://www.kubeflow.org/docs/components/pipelines/installation/choose-executor/#emissary-executor\r\nThanks for your suggestions, I wi... | 2021-11-11T14:16:41 | 2021-11-19T06:36:17 | 2021-11-19T06:36:17 | NONE | null | ### What happened:
I created a pipeline with four components, but it was terminated immediately after it was started, and the status of the pipeline was displayed as `Unknown`.
### What did you expect to happen:
Pipeline can run normally.
### Environment:
<!-- Please fill in those that seem relevant. -->... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"I'm having this problem too, any update?",
"If you are able to structure your code so that you pass a directory instead (containing t... | 2021-11-11T10:07:09 | 2022-12-23T07:43:35 | null | NONE | null | ### Environment
* KFP version: 1.6.4
* KFP SDK version: KF 1.3 release
* All dependencies version:
```
kfp==1.6.4
kfp-pipeline-spec==0.1.10
kfp-server-api==1.7.0
```
### Steps to reproduce
I'm not confident that this isn't a user error, but I haven't found any documentation that describes my use c... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-11T08:23:02 | 2022-03-02T10:06:41 | null | NONE | null | ### Expected result
Log archiving with MinIO worked as expected at first but at some point the archived main logs became empty files.
The front-end displays the archived files, and these exist on MinIO, however the main logs are always empty (0 bytes) on MinIO.
The output artifacts (apart from the main logs) a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6888 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6888/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6888/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6888/events | https://github.com/kubeflow/pipelines/issues/6888 | 1,049,318,792 | I_kwDOB-71UM4-i1WI | 6,888 | [feature] Abstract KFP Argo workflow client functions | {
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"/cc @capri-xiyue @Bobgy ",
"/cc @james-jwu ",
"My 2 cents, we should also try to keep the interface clean enough so that not just argo or tekton but airflow or any work flow engine should be able to integrate well. ",
"> My 2 cents, we should also try to keep the interface clean enough so that not just argo ... | 2021-11-10T02:01:40 | 2022-03-02T10:06:18 | null | MEMBER | null | ### Feature Area
Currently, the KFP backend still relies heavily on the Argo golang client to run, get workflows, updates, and retry pipelines. This still remains true after implementing the v2 backend compiler because the compiled workflow needed the Argo golang client to manage the Argo workflows on Kubernetes. Sinc... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6885 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6885/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6885/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6885/events | https://github.com/kubeflow/pipelines/issues/6885 | 1,048,744,154 | I_kwDOB-71UM4-gpDa | 6,885 | Trigger Airflow DAG from kubeflow V2 pipeline SDK | {
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"In kubeflow you can use exit handler https://github.com/kubeflow/pipelines/blob/927d2a9f2dfdb90ae156979b9e0d72afa14adcd6/samples/core/exit_handler/exit_handler.py#L47. Ref: https://kubeflow-pipelines.readthedocs.io/en/stable/source/kfp.dsl.html#kfp.dsl.ExitHandler",
"This issue has been automatically marked as s... | 2021-11-09T15:30:55 | 2022-03-02T11:00:52 | 2022-03-02T11:00:52 | NONE | null | ### Problem
Currently I'm having a vertex AI pipeline built using kubeflow v2 pipeline sdk (python function based). The last step of the pipeline will save the data to Big query table. I would like to trigger an existing Airflow DAG which consumes the data that is stored in Big query table saved by vertex AI pipeline.... | {
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* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
1.8.9
* KFP SDK version:
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"Not sure if there's anything special with `/dev/shm`. But KFP DSL v1 supports `add_volume` and `add_volume_mount`. Would that work for you?",
"Hi @arunnalpet, I encountered this problem too, and I resolved as follows.\r\n\r\n```python\r\nimport kfp.dsl as dsl\r\nimport kubernetes as k8s # should pip install kube... | 2021-11-08T06:41:38 | 2022-02-24T15:42:25 | null | NONE | null | ### What steps did you take
While creating a ContainerOp, there is no option to attach a volume for /dev/shm. This is needed for training pytorch models. Training with larger batch size, throws up this error. Training with tiny batch sizes will go through just fine.
### What happened:
Currently the code fails w... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6873 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6873/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6873/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6873/events | https://github.com/kubeflow/pipelines/issues/6873 | 1,046,085,034 | I_kwDOB-71UM4-Wf2q | 6,873 | [frontend] "Pipelines" and "Experiments" icons disappear when left sidebar is collapsed | {
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"Thanks for the report, this is fixed in https://github.com/kubeflow/pipelines/pull/6440, I expect the next release to fix it."
] | 2021-11-05T17:33:52 | 2021-11-12T00:46:17 | 2021-11-12T00:46:17 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? standalone
* KFP version: 1.7.1
### Steps to reproduce
Collapse the left sidebar. Observe that the first 2 icons, "Pipelines" and "Experiments", aren't visible:
<img width="66" alt="Screen Shot 2021-11-05 at 13 30 20" src="https://user-images... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6872 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6872/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6872/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6872/events | https://github.com/kubeflow/pipelines/issues/6872 | 1,045,595,790 | I_kwDOB-71UM4-UoaO | 6,872 | [bug] Recurring runs with cron trigger dissapearing | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-05T09:02:12 | 2022-03-02T10:06:47 | null | NONE | null | ### What steps did you take
I created a recurring run of a pipeline with a cron, the cron value is `0 0 0 3 * *` it is expected to run each 3rd day of each month. Here's the entire setup of the recurring run trigger :
Enabled Yes
Trigger 0 0 0 3 * *
Max. concurrent runs 1
Catchup false
Start time 02/12... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6870 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6870/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6870/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6870/events | https://github.com/kubeflow/pipelines/issues/6870 | 1,045,169,610 | I_kwDOB-71UM4-TAXK | 6,870 | [frontend] Run details page prefetches all artifacts; initial page load transfers a lot of data | {
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"Hello @jli , we should probably change the fetching of all visualization artifacts when user switch to `Run output` tab on top of Run Details page. https://github.com/kubeflow/pipelines/blob/master/frontend/src/pages/RunDetails.tsx#L581-L615",
"@zijianjoy, I also noticed that the run details page refreshes artif... | 2021-11-04T20:23:35 | 2022-03-23T06:11:04 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? our own deployment to GKE (not sure if standalone or full)
* KFP version: 1.5.1
### Steps to reproduce
background: My team has a large experiment which trains ~15 models in parallel. Each model training process includes a QC/reporting step, whic... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6867 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6867/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6867/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6867/events | https://github.com/kubeflow/pipelines/issues/6867 | 1,044,536,562 | I_kwDOB-71UM4-Qlzy | 6,867 | [Python SDK] Can we upgrade the Google API Python Client packages to v2? | {
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"cc @chensun ",
"Hi @haoxins, thanks for opening this issue. \r\nWe're removing google-api-python-client for v2. \r\nPlease use https://github.com/googleapis/python-aiplatform for submitting pipeline jobs. "
] | 2021-11-04T09:53:14 | 2021-11-10T22:19:26 | 2021-11-10T22:19:26 | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
* We should upgrade Google API packages to `v2`
### What is the use case or pain point?
* For our use cases (which the users on GCP), we will get warning messages if we use both kfp and google-api-client
```
ERROR: pip's dependency re... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6860 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6860/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6860/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6860/events | https://github.com/kubeflow/pipelines/issues/6860 | 1,044,094,046 | I_kwDOB-71UM4-O5xe | 6,860 | 11/03/2021 Presubmit kubeflow-pipelines-tfx-python37 failing | {
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"Looks like this is related to keras 2.7.\r\nTest was passing previously when it installed keras 2.6\r\n https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6854/kubeflow-pipelines-tfx-python37/1455697869322326016",
"Root cause: https://github.com/keras-team/keras/issues/15579"
] | 2021-11-03T20:41:49 | 2021-11-03T22:51:22 | 2021-11-03T22:51:22 | COLLABORATOR | null | https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6859/kubeflow-pipelines-tfx-python37/1455985756802650112
```
2021-11-03 19:55:53.822029: E tensorflow/core/lib/monitoring/collection_registry.cc:77] Cannot register 2 metrics with the same name: /tensorflow/api/keras/optimizers
Traceback (... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6858 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6858/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6858/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6858/events | https://github.com/kubeflow/pipelines/issues/6858 | 1,043,844,498 | I_kwDOB-71UM4-N82S | 6,858 | [bug] Set a gpu limit on a ContainerOp using a pipeline parameter input | {
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"@Bobgy @zijianjoy Please can you take a look at this issue.",
"I think this is resolved in.the later version of the SDK.\r\n@jdalbosc-cisco Can you please upgrade your sdk and try again?",
"@chensun Thank you for your reply.\r\n\r\nI've upgraded kfp to 1.8.9 and indeed the problem is solved. The content of the... | 2021-11-03T16:55:13 | 2022-04-27T17:20:54 | 2022-02-04T20:48:33 | NONE | null | ### What steps did you take
I’m using Kfp 1.6.4 to define a pipeline. I would like to set a gpu limit on a ContainerOp using a pipeline parameter input. I have the following pipeline definition:
```
@dsl.pipeline(name="darknet-train-pipeline", description="Trains a darknet network")
def darknet_train_pipeline(...... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6857 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6857/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6857/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6857/events | https://github.com/kubeflow/pipelines/issues/6857 | 1,043,804,528 | I_kwDOB-71UM4-NzFw | 6,857 | [feature] Explicit list of supported GPU architectures | {
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"@zijianjoy I've discussed this with Vedant Padwal and he thinks the sample may need to be updated.",
"@jnatale11 Can you try to run the sample to validate if this is working? I don't think there should be limitation on the types of GPUs by Kubeflow. I think the comment in this `add_node_selector_constrain` is no... | 2021-11-03T16:20:55 | 2021-11-03T21:46:30 | 2021-11-03T21:46:30 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area samples
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
I'd like to know if there's anywhere in the docs/samples which explicitly outline which GP... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6849 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6849/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6849/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6849/events | https://github.com/kubeflow/pipelines/issues/6849 | 1,041,875,382 | I_kwDOB-71UM4-GcG2 | 6,849 | [backend] Deprecated unittest aliases were removed in Python 3.11 | {
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"cc @SinaChavoshi @IronPan ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-11-02T04:33:39 | 2022-03-02T15:05:10 | null | NONE | null |
* `assertDictContainsSubset` was removed.
* `assertEquals` was removed in favor `assertEqual`
```
components/google-cloud/tests/experimental/custom_job/unit/test_custom_job.py: self.assertDictContainsSubset(
components/google-cloud/tests/experimental/custom_job/unit/test_custom_job.py: self.assertDictCont... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6848 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6848/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6848/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6848/events | https://github.com/kubeflow/pipelines/issues/6848 | 1,041,709,768 | I_kwDOB-71UM4-FzrI | 6,848 | issue with google_cloud_pipeline_components 0.1.9 ModelUploadOp ("invalid value") | {
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"Here's what the set of input args looks like in the console: https://screenshot.googleplex.com/HdYMJLiz8oVhxjB\r\n/cc @SinaChavoshi @IronPan ",
"@amygdala try configuring port as below - `serving_container_ports=[{\"containerPort\" : PORT}]`. The component follows k8s v1/core spec. Worked for me with above confi... | 2021-11-01T22:50:32 | 2022-02-03T12:52:24 | null | CONTRIBUTOR | null | with the v0.1.9 of `ModelUploadOp` I'm seeing the following error. I confirmed that **things work fine in 0.1.7.**
`PORT` is set as follows:
```
PORT = 8080
```
Then, in the pipeline definition, `ModelUploadOp` is configured as follows:
```
model_upload_op = gcc_aip.ModelUploadOp(
project=project... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6845 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6845/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6845/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6845/events | https://github.com/kubeflow/pipelines/issues/6845 | 1,040,844,352 | I_kwDOB-71UM4-CgZA | 6,845 | [backend] severe perf problem in archive experiment API | {
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"/cc @capri-xiyue ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"We just today got hit by this issue (Kubeflow 1.3 deployment). Would really appreciate if this could get address... | 2021-11-01T07:12:28 | 2023-07-18T14:26:27 | 2023-07-18T14:26:24 | CONTRIBUTOR | null | ### Environment
* KFP version: master
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side navigation of user interface.
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
### Steps to reproduce
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https://api.github.com/repos/kubeflow/pipelines/issues/6839 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6839/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6839/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6839/events | https://github.com/kubeflow/pipelines/issues/6839 | 1,039,885,703 | I_kwDOB-71UM49-2WH | 6,839 | [frontend] S3Error: 503 in ml-pipeline-ui-artifact | {
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"problem solved.\r\nWe fixed destination rule in Istio",
"@lightning-like could you please describe what you changed in Istio. I have the same issue.",
"@holadepo have you fixed the problem? I am facing the same issue.\r\n@lightning-like Could you explain a bit more what istio changes you made?",
"> @holadep... | 2021-10-29T19:56:35 | 2023-03-01T06:41:33 | 2021-12-04T19:40:50 | NONE | null | ### How did you deploy Kubeflow Pipelines (KFP)?
We are attempting to deploy the kubeflow pipeline over a local cent-os cluster using kustomize
We use multi-user isolation
k8s v1.19.6
On a custom Kubernetes deployment.
KFP version:
1.7.0
KFP SDK version:
kfp 1.8.6
kfp-pipeline-spec 0.1.11
kfp-server-a... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6838 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6838/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6838/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6838/events | https://github.com/kubeflow/pipelines/issues/6838 | 1,039,805,460 | I_kwDOB-71UM49-iwU | 6,838 | [bug] reenable cache v2 and importer v2 e2e test | {
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"cc @chensun @Bobgy ",
"For the cache v2, looks like the feature is working. But there is something wrong with test infra util code. It does not pass correct input to run cache\r\n\r\nFor the importer, the feature is broken\r\n\r\nFYI: https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/... | 2021-10-29T17:58:22 | 2022-03-02T15:05:14 | null | CONTRIBUTOR | null | ### What steps did you take
cache e2e and importer e2e is broken after the https://github.com/kubeflow/pipelines/pull/6804 change. Need to figure out how to add protobuf.Value support in in cache and importer v2 and reenable cache v2 and importer v2 e2e test as soon as possible.
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https://api.github.com/repos/kubeflow/pipelines/issues/6836 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6836/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6836/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6836/events | https://github.com/kubeflow/pipelines/issues/6836 | 1,039,693,971 | I_kwDOB-71UM49-HiT | 6,836 | Unable to create experiments other namespaces in Kubeflow | {
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"cc @aronchick ",
"How are you submitting your pipeline? can you share the pipeline used?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-10-29T15:36:17 | 2022-03-02T10:06:45 | null | NONE | null | I have a Kubeflow platform installed on Azure Kubernetes that supports multi-user isolation. But still, I am not able to create experiments and submit pipelines in some other namespace. All the Pipelines are getting run in the Single kubeflow namespace. Can someone please guide me on how can I segregate the pipeline in... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6831 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6831/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6831/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6831/events | https://github.com/kubeflow/pipelines/issues/6831 | 1,039,115,119 | I_kwDOB-71UM4976Nv | 6,831 | [feature] Add hooks to transform compiled template/workflow manifests | {
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"Is it possible for you to add post-processing step after Pipeline SDK compiles to workflow template?\r\n\r\ncc @chensun for advice.",
"Hi @jmcarp, that's an interesting idea. I wonder if a hook is added to `Compiler.compile` or `to PipelineContext`, then how different would this be from a post-compilation patchi... | 2021-10-29T02:55:13 | 2022-04-17T07:27:12 | null | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Argo workflows has features that aren't exposed in KFP, such as synchronization, template defaults, and retry expressions. If I want to use an argo feature that isn't exposed in KFP, I can file a PR against this repo and wait for a new release,... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6829 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6829/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6829/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6829/events | https://github.com/kubeflow/pipelines/issues/6829 | 1,039,064,545 | I_kwDOB-71UM497t3h | 6,829 | End of support for v2 compatible mode in KFP SDK 1.9 | {
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"Can we also setup a plan to refactor the documents/websites?\r\n\r\nFor me, I need introduce Kubeflow pipelines to my colleagues (most are data scientists) in my company.\r\nThe Kubeflow website still be the most important source of truth for end users.\r\nWill be very impassioned if we can update the documents to... | 2021-10-29T00:49:17 | 2022-02-03T23:07:12 | null | COLLABORATOR | null | KFP v2 compatible mode (http://bit.ly/kfp-v2-compatible) was introduced to let KFP users experiment with KFP DSL v2 features on KFP before KFP v2 engine is ready. The features is first available in KFP SDK 1.6.2. Since then, we have collected valuable user feedback which helped us evaluate our design.
Given the ongo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6821 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6821/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6821/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6821/events | https://github.com/kubeflow/pipelines/issues/6821 | 1,037,909,539 | I_kwDOB-71UM493T4j | 6,821 | Automatically mount temporary directory when using the PNS executor in Argo Workflows | {
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"Hello @aoen , currently we support Emissary Executor, would you like to try that instead of PNS executor for your pipeline workflow? https://www.kubeflow.org/docs/components/pipelines/installation/choose-executor/#emissary-executor.\r\n\r\nKFP doesn't guarantee PNS executor is working at this moment."
] | 2021-10-27T22:20:49 | 2021-10-29T00:02:27 | 2021-10-29T00:02:27 | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
A temporary directory should be mounted automatically by KFP when using the PNS executor in Argo Workflows.
### What is the use case or pain point?
When using PNS executor in Argo Workflows, we noticed some KFP pipelines that were writing o... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6819 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6819/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6819/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6819/events | https://github.com/kubeflow/pipelines/issues/6819 | 1,037,787,996 | I_kwDOB-71UM4922Nc | 6,819 | issue with `google_cloud_pipeline_components` and artifact URIs | {
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"There are two aspects of this issue:\r\n\r\nUI: UI should try to exam the response code when trying to preview Artifact content, if failed, we should skip previewing this Artifact.\r\n\r\nLauncher: When trying to download artifact, if failed, continue with the execution. Because the Artifact URL is not a file.\r\n... | 2021-10-27T19:31:52 | 2022-07-22T02:36:41 | null | CONTRIBUTOR | null | This is with the 1.7 Marketplace install of KFP on a GKE cluster, and running a pipeline that uses the 1P components via v2 compat mode. I'm using v0.1.8 of the `google_cloud_pipeline_components`.
There's an apparent issue with the 1P component handling of artifact URIs in v2 compat mode. (This pipeline runs fine on... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6818 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6818/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6818/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6818/events | https://github.com/kubeflow/pipelines/issues/6818 | 1,037,652,740 | I_kwDOB-71UM492VME | 6,818 | V2 Output Artifact Classes and Vertex Pipelines | {
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"Hi, I tried this way, it does not throw an error and the pipeline succeeds, however the URI is not updated when I view the Artifacts/Metadata of the run in ... | 2021-10-27T17:02:50 | 2021-11-29T22:12:43 | 2021-11-29T22:12:43 | NONE | null | I am trying to create a vertex pipeline using the kfp SDK v2, I'm not sure if this is a vertex issue or a kfp issue, so forgive me if this is the wrong place for this query.
I have a reusable component in my pipeline from which I want to return a Dataset Artifact.
in the component.yaml I have the output specified... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6815 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6815/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6815/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6815/events | https://github.com/kubeflow/pipelines/issues/6815 | 1,037,408,014 | I_kwDOB-71UM491ZcO | 6,815 | [testing] kfp-ci cluster related tests flaky | {
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"/assign @capri-xiyue @Bobgy ",
"/cc @chensun ",
"Are there other causes for flakiness?",
"Saw another cause of flakiness in https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6796/kubeflow-pipelines-samples-v2/1453537694247292928\r\n\r\n```\r\nThis step is in Failed state with this... | 2021-10-27T13:13:18 | 2021-11-02T00:18:37 | 2021-11-02T00:18:37 | CONTRIBUTOR | null | [example error log](https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6746/kubeflow-pipelines-samples-v2/1450527267473068032#1:build-log.txt%3A224)
> HTTP response headers: HTTPHeaderDict({'Content-Type': 'application/json', 'Date': 'Tue, 19 Oct 2021 18:22:34 GMT', 'Vary': 'Origin', 'X-Co... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6813 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6813/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6813/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6813/events | https://github.com/kubeflow/pipelines/issues/6813 | 1,037,358,605 | I_kwDOB-71UM491NYN | 6,813 | [testing] v2 sample test failing at master | {
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"https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/6804/kubeflow-pipelines-v2-go-test/1453335007127932928 logs all look good, but the test failed.\r\n\r\nEDIT: I was wrong, the unit test properly failed at line https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines... | 2021-10-27T12:25:54 | 2021-10-27T16:29:09 | 2021-10-27T16:17:04 | CONTRIBUTOR | null | reported by @chensun at https://github.com/kubeflow/pipelines/pull/6804#issuecomment-952542710
UPDATE: after the investigations below, it seems to me that v2 sample test is not flaky, it's basically broken at master.
The error message is https://4e18c21c9d33d20f-dot-datalab-vm-staging.googleusercontent.com/#/runs/d... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6812 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6812/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6812/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6812/events | https://github.com/kubeflow/pipelines/issues/6812 | 1,037,219,896 | I_kwDOB-71UM490rg4 | 6,812 | [bug] create component launcher configmaps/kfp-launcher : Forbidden | {
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"Sorry for interrupting. We assume the issue https://github.com/kubeflow/pipelines/pull/6530 is the same.\r\n\r\nWe have added root in the base image, it's helped"
] | 2021-10-27T10:00:36 | 2021-10-27T16:23:33 | 2021-10-27T16:23:33 | NONE | null | ### What steps did you take
Try to run `client.create_run_from_pipeline_func` from sdk with mode `kfp.dsl.PipelineExecutionMode.V2_COMPATIBLE`
### What happened:
There is an error when we start pipeline v2 meanwhile v1 works fine
`
F1026 18:45:17.472270 61 main.go:50] Failed to create component launcher: G... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6811 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6811/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6811/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6811/events | https://github.com/kubeflow/pipelines/issues/6811 | 1,037,218,290 | I_kwDOB-71UM490rHy | 6,811 | [bug] Kubeflow Pipeline connection error | {
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"Hello @Deseram, there are two issues you are facing here.\r\n\r\nFor SDK issue: Please refer to https://www.kubeflow.org/docs/components/pipelines/multi-user/#when-using-the-sdk for specifying namespace when calling KFP API in multi-user mode. \r\n\r\nFor ml-pipeline-ui issue: Please check your istio configuration... | 2021-10-27T09:58:58 | 2022-03-02T15:05:15 | null | NONE | null | ### What steps did you take
We have had our kubeflow setup running for about 6 months now. But recently, we noticed that the sdk was having trouble communicating with KF Pipelines, this wasn't a regular incident. But on occasions, we would get the following errors:
`List experiments failed.: InternalServerError: ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6810 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6810/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6810/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6810/events | https://github.com/kubeflow/pipelines/issues/6810 | 1,037,076,029 | I_kwDOB-71UM490IY9 | 6,810 | [feature] Provide custom index_url to pip when installing packages in Pipeline components | {
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"cc @chensun ",
"Hi @valko073 , IIRC `packages_to_install` also accepts a full GitHub path, for instance `'git+https://github.com/kubeflow/pipelines#egg=kfp&subdirectory=sdk/python'`. Would that work for you?\r\n\r\nAlternatively, you may also consider containerizing your component--install the dependencies while... | 2021-10-27T07:35:03 | 2022-04-18T17:29:52 | 2022-04-18T17:29:51 | NONE | null | ### Feature Area
/area sdk
/area components
### What feature would you like to see?
As a user I would like to be able to provide a custom url to a self-hosted Pypi server for the components to install their
_packages_to_install_ from. I could not find a way of doing so in the documentation / code.
### ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6799 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6799/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6799/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6799/events | https://github.com/kubeflow/pipelines/issues/6799 | 1,035,294,762 | I_kwDOB-71UM49tVgq | 6,799 | [sdk] superfluous isinstance check in local run | {
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"cc @lynnmatrix ",
"@feizerl Thanks for this issue, and you are right, the check will always be true. \r\nWhat i really want to check is whether the item is an instance of primitive type, if not, convert the item to string so that it can be used in command line.\r\n"
] | 2021-10-25T15:44:31 | 2021-12-03T18:14:58 | 2021-12-03T18:14:58 | CONTRIBUTOR | null | Hello,
I am trying to run a kubeflow pipeline locally, and am currently running into issue due to this check:
https://github.com/kubeflow/pipelines/blob/4abc4fd1874f7937a193d31dbbe650618c88ca95/sdk/python/kfp/_local_client.py#L475
My code (roughly) looks like this:
```py
@container_op
def upload(..) -> li... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6793 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6793/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6793/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6793/events | https://github.com/kubeflow/pipelines/issues/6793 | 1,033,276,886 | I_kwDOB-71UM49lo3W | 6,793 | Kubeflow component does not finish executing when running on **e2-highmem-4** machine type cluster | {
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"Hello @sharmahemlata , would you like to share more information about your cluster?\r\n\r\n1. K8s version on GKE \r\n2. node image type for Nodepool `custom-2-4352` and `e2-highmem-4`\r\n3. Are you using Docker executor or Emissary Executor? https://www.kubeflow.org/docs/components/pipelines/installation/choose-ex... | 2021-10-22T07:40:58 | 2021-10-29T05:48:37 | 2021-10-29T05:48:37 | NONE | null | ### What steps did you take
On GCP, I created a kubeflow pipelines instance along with which a default cluster that uses machine **custom-2-4352** is created. I also added another node pool to the cluster of the machine type **e2-highmem-4**
### What happened:
When kubeflow component pods are assigned to the **c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6792 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6792/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6792/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6792/events | https://github.com/kubeflow/pipelines/issues/6792 | 1,032,994,118 | I_kwDOB-71UM49kj1G | 6,792 | How to retrieve component status and logs from pipeline SDK ? | {
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"The workaround is to call GET /apis/v1beta1/runs/{run_id} https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/#operation--apis-v1beta1-runs--run_id--get and check the apiPipelineRuntime field.\r\nKFP V2 will support this feature.",
"@capri-xiyue thank you for your message,... | 2021-10-21T22:31:51 | 2022-08-11T18:23:48 | null | NONE | null | ### Feature Area
Hello
In our project, we are using kubeflow pipelines from SDK and not using UI at all. It is quite difficult to understand pipeline failure. Is there any way to retrieve component status and logs of individual pipeline run?
Maybe it is possible but I could not find it.
### What feature would... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6791 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6791/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6791/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6791/events | https://github.com/kubeflow/pipelines/issues/6791 | 1,032,898,182 | I_kwDOB-71UM49kMaG | 6,791 | [feature] install tar.gz package from bucket | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-10-21T20:08:38 | 2022-03-02T15:05:25 | null | NONE | null | ### Feature Area
/area sdk
/area components
### What feature would you like to see?
Hello !
It will be so awesome to allow this kind of package install
(I know I can make my own image, but it would be easy to do a POC with this kind of import)
```python
@component(
packages_to_install = [
... | {
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"We don't currently provide visualization support in local runner: https://kubeflow-pipelines.readthedocs.io/en/latest/source/kfp.html?highlight=run_pipeline_func_locally#kfp.run_pipeline_func_locally (local runner as Alpha). Welcome PRs if you would like to contribute.",
"Thanks for your response.\r\n\r\nI'm not... | 2021-10-21T02:49:32 | 2022-03-02T15:05:21 | null | NONE | null | ### What steps did you take & What happened
I am trying to create a python component for visualization. The component writes HTML to `mlpipeline_ui_metadata_path`. I then try to place the component in a pipeline using the local executor and run the local pipeline with idea that I can take the pipeline's run result, ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-10-20T19:59:13 | 2022-03-02T15:05:25 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
/area backend
<!-- /area sdk -->
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
MaxNumViewers behavior currently only deletes the oldest viewer in a ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/lifecycle frozen"
] | 2021-10-20T15:36:41 | 2022-09-30T19:26:57 | 2022-09-30T19:26:57 | COLLABORATOR | null | null | {
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] | 2021-10-20T15:36:37 | 2023-05-24T17:23:01 | 2023-05-24T17:23:01 | COLLABORATOR | null | # User Journeys
We need to validate a list of functionality regarding Pipeline Detail Page.
1. Ability to create a new run without parameter, it should be able to create a new run entity in the RunList.
2. Ability to create a new run with parameter, there are various types we should support using Protobuf.Value.... | {
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"Can you help share the pipeline definition that you want to upload?",
"Example file, I've tested upload from s3 without success.\r\nPlease unpack and test .yaml file.\r\n[test_pipeline_upload.yaml.zip](https://github.com/kubeflow/pipelines/files/7440440/test_pipeline_upload.yaml.zip)\r\n\r\n",
"Bump",
"This ... | 2021-10-20T12:35:55 | 2022-04-17T06:27:24 | null | NONE | null | ### Environment
- Full Kubeflow deployment on AWS EKS, Kubeflow 1.2.0, KFP 1.0.4 or
- local Pipelines deployment on Minikube, KFP 1.6.0
On both deployments same problem
### Steps to reproduce
In Kubeflow Pipelines UI uploading pipeline by url raising an error:
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"The design is ready for review.\r\nhttps://docs.google.com/document/d/1TZeZtxwPzAImIu8Jk_e-4otSx467Ckf0smNe7JbPReE/edit?usp=sharing&resourcekey=0-lTeZGW_Ys78j1LU60CEARg",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Th... | 2021-10-20T04:55:05 | 2022-04-17T06:27:44 | null | CONTRIBUTOR | null | expand bit.ly/kfp-v2 design with control flow related detailed design | {
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Location: `.github/renovate.json5`
Error type: Invalid JSON5 (parsing failed)
Message: `JSON5.parse error: JSON5: invalid character '\"' at 3:3`
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"@chensun Can you help take a look at this? Looks like click is the sdk dependency.",
"@capri-xiyue I accidentally discovered this problem while trying to install Seldon Core ver 1.11.1, which uses click version 8.x instead.",
"This issue has been automatically marked as stale because it has not had recent act... | 2021-10-19T08:54:40 | 2022-03-18T14:23:50 | null | NONE | null | ### What happened:
A CVE issue has been reported on click version 7.x on GitHub
https://github.com/pallets/click/issues/1833
### What did you expect to happen:
Please update click to resolve it! | {
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